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Application of Data Analysis Using the R Programming Language

An Interactive 5-Day Training Course

Application of Data Analysis Using the R Programming Language

Unlocking Insights: Mastering Data Analysis with R

NASBA
Classroom Schedule
Date Venue Fees
18 - 22 May 2026 Jeddah $ 5,950
03 - 07 Aug 2026 Dammam $ 5,950
02 - 06 Nov 2026 Riyadh $ 5,950
21 - 25 Dec 2026 Barcelona $ 5,950

Introduction

Welcome to our comprehensive training course on the Application of Data Analysis Using the R Programming Language! In today's data-driven world, the ability to extract insights and make informed decisions from large datasets is paramount across various industries. R has emerged as a powerful tool for statistical analysis, data visualization, and machine learning, making it a favorite among data scientists and analysts worldwide.

In this training course, we will take you on a journey from the fundamentals of R programming to advanced techniques for manipulating, analyzing, and visualizing data. Whether you're a beginner looking to kickstart your career in data analysis or an experienced professional aiming to enhance your skills, this training course is designed to cater to your needs.

Through a combination of hands-on exercises, real-world examples, and practical projects, you will gain a deep understanding of R programming syntax, data structures, and packages. You will learn how to import data from various sources, clean and preprocess datasets, perform exploratory data analysis, and build predictive models using statistical and machine learning algorithms.

Our experienced instructors will guide you every step of the way, providing personalized support and insights to help you master the art of data analysis with R. By the end of this training course, you will have the knowledge and confidence to tackle real-world data analysis challenges and make valuable contributions to your organization's success.

Get ready to unlock the full potential of your data with the power of R programming!

This Saudi GLOMACS training course will highlight:

  • Defining the Basic Concepts of R Programming
  • Downloading, Installing, and Using RStudio
  • Variables and Loops in R
  • Updating R and RStudio
  • Using Packages
  • Creating Vectors and Lists
  • Understanding Directory and Projects

Objectives

This training course on the Application of Data Analysis Using the R Programming Language is designed with the following objectives in mind:

  • Mastering R Programming Fundamentals
  • Effective Data Manipulation and Analysis
  • Statistical Analysis Proficiency
  • Data Visualization Mastery
  • Introduction to Machine Learning
  • Practical Application in Real-World Scenarios
  • Enhanced Problem-Solving Skills
  • Collaborative Learning Environment

Training Methodology

Our training course adopts a dynamic training methodology combining theoretical instruction with hands-on practice, real-world examples, and collaborative learning. Through interactive sessions led by experienced instructors, participants engage in practical exercises, case studies, and projects that reinforce their understanding of R programming concepts and their application in data analysis. Continuous assessment and feedback ensure participants stay on track, while a supportive and collaborative environment encourages knowledge sharing and skill development. This approach empowers participants to confidently apply their newfound skills in real-world data analysis scenarios upon completion of the training course.

Organisational Impact

The training course on the Application of Data Analysis Using the R Programming Language promises to have a significant organizational impact by equipping participants with the skills and knowledge necessary to leverage data effectively. As participants gain proficiency in R programming, statistical analysis, data manipulation, and visualization, they become valuable assets capable of driving data-driven decision-making within the organization. With the ability to extract insights from large datasets, identify trends, and make informed predictions, employees can contribute to improved operational efficiency, optimized processes, enhanced product development, and more targeted marketing strategies. Additionally, by fostering a culture of data literacy and collaboration, the training course promotes cross-departmental understanding and communication, facilitating smoother coordination and alignment of objectives across the organization. Ultimately, the training course empowers organizations to harness the full potential of their data resources, leading to better strategic planning, competitive advantage, and overall business success.

Personal Impact

Participating in the training course on the Application of Data Analysis Using the R Programming Language offers significant personal impact for individuals seeking to advance their careers in data analysis and related fields. By mastering R programming fundamentals, statistical analysis techniques, and data visualization skills, participants can enhance their professional competency and marketability in a competitive job market. The hands-on experience and practical projects provided in the training course enable participants to build a robust portfolio of data analysis projects, showcasing their capabilities to potential employers or clients. Moreover, the acquired knowledge and skills empower individuals to tackle complex data analysis challenges with confidence, opening up opportunities for career advancement and higher-level roles within their organizations. Beyond career growth, the training course fosters personal development by instilling problem-solving abilities, critical thinking skills, and a deeper understanding of data-driven decision-making principles. Ultimately, the training course serves as a catalyst for personal and professional growth, equipping participants with the tools and expertise needed to excel in the dynamic field of data analysis.

Who should Attend?

The training course on the Application of Data Analysis Using the R Programming Language is ideally suited for professionals across various industries who seek to enhance their data analysis skills and leverage the power of R for informed decision-making. Specifically, the training course is beneficial for:

  • Data Analysts: Individuals responsible for analyzing data to extract insights and inform business decisions will benefit from learning R programming techniques for data manipulation, statistical analysis, and visualization.
  • Data Scientists: Professionals looking to deepen their expertise in data analysis and machine learning using R will find the training course invaluable for building predictive models, conducting exploratory data analysis, and deploying analytical solutions.
  • Business Analysts: Those tasked with interpreting data trends and patterns to drive strategic planning and optimize business processes can enhance their analytical capabilities by mastering R programming for data analysis.
  • Researchers and Academics: Researchers and academics working in fields such as social sciences, economics, and healthcare can leverage R for data analysis and statistical modeling in their research projects and academic publications.
  • IT Professionals: IT professionals interested in expanding their skill set to include data analysis using R will find the training course beneficial for understanding data manipulation, visualization, and statistical analysis techniques.
  • Decision-makers and Managers: Decision-makers and managers seeking to make data-informed decisions and effectively communicate insights to stakeholders can benefit from understanding the fundamentals of data analysis using R.
  • Anyone Interested in Data Analysis: Individuals with a keen interest in data analysis, regardless of their current job roles, can attend the training course to acquire valuable skills for extracting actionable insights from data using R.
Course Outline
Day 1

Introduction to R Programming and RStudio

  • Introduction to R programming language and its importance in data analysis.
  • Basic syntax, data types, and data structures in R.
  • Setting up RStudio: Downloading, installing, and navigating the RStudio interface.
  • Hands-on practice: Running basic R scripts.
  • Using the R console for interactive coding.
  • Understanding RStudio projects and working directories.
  • Exploring the RStudio environment: panels, tabs, and customization options.
Day 2

Variables, Loops, and Updates

  • Understanding variables in R: types, assignment, and manipulation.
  • Introduction to control structures: loops in R.
  • Implementing for loops for iterative tasks.
  • Implementing while loops for conditional tasks.
  • Updating R and RStudio: Step-by-step guide to updating software versions.
  • Managing packages in R: installing, updating, and removing packages.
  • Best practices for package management in R.


Day 3

Packages, Vectors, and Lists

  • Introduction to R packages: importance and installation methods.
  • Exploring commonly used packages for data analysis: dplyr, ggplot2, tidyr, etc.
  • Working with vectors in R: creation, indexing, and basic operations.
  • Understanding lists in R: creation, indexing, and manipulation.
  • Installing and loading packages in R: library() function and package dependencies.
  • Directory vs. Project: Understanding the difference and when to use each in RStudio.
  • Organizing your workspace: Managing files and projects in RStudio.


Day 4

Data Manipulation and Visualization

  • Data manipulation with dplyr: filtering, selecting, arranging, summarizing, and joining data.
  • Introduction to data visualization: principles and importance.
  • Creating basic visualizations with base R: plotting functions and customization.
  • Introduction to ggplot2: grammar of graphics and creating aesthetic plots.
  • Advanced data manipulation techniques: group_by(), summarize(), and mutate() functions in dplyr.
  • Customizing plots with ggplot2: adding layers, adjusting aesthetics, and themes.
  • Practical exercises: Visualizing real-world datasets and interpreting results.


Day 5

Advanced Topics and Project Work

  • Introduction to advanced statistical analysis in R: hypothesis testing and regression analysis.
  • Introduction to machine learning in R: overview of algorithms and model building.
  • Overview of additional R features: debugging, profiling, and optimizing code.
  • Resources for further learning: online tutorials, books, and communities.
  • Project work: Participants work on real-world data analysis projects using R.
  • Presentation and discussion: Sharing project findings, insights, and challenges.
  • Feedback and Q&A session: Addressing participant questions and clarifications.


Certificates
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates.
  • Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.
Providers

Endorsed Education Provider

NASBA
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Frequently Asked Question

No. Saudi GLOMACS delivers courses in Saudi Arabia and internationally, including delivery across Europe and Asia. This allows organisations and professionals to access training both locally and abroad.

No. While governance and leadership are part of the portfolio, Saudi GLOMACS delivers training across the entire business and professional lifecycle, including administrative, technical, legal, regulatory, and sector-specific training.

Yes. Saudi GLOMACS designs and delivers bespoke in-house training tailored to organisational objectives, sector requirements, and workforce needs. Training can be delivered in Saudi Arabia or internationally, depending on requirements.

Courses delivered in Saudi Arabia are adapted to reflect local regulatory frameworks, organisational structures, sector conditions, and professional expectations. This ensures training is relevant, practical, and aligned with Saudi workplace realities.

GLOMACS has been delivering professional training for over thirty years, with courses delivered across Europe, the Middle East, Asia, and other international markets.

Saudi GLOMACS combines three decades of global training experience with a clear focus on Saudi market relevance. This allows it to deliver training that is both internationally credible and locally applicable, across a broader range of disciplines than niche or single-focus providers.

Saudi GLOMACS is a Saudi-based professional training provider delivering courses tailored to the Saudi market and applicable internationally. It operates within the global GLOMACS framework and draws on more than three decades of international training experience.

Saudi GLOMACS offers professional training across a wide range of disciplines, including administration, leadership and management, governance and regulation, law, oil and gas, energy, engineering, finance, digital technologies, and sector-specific specialisations.

Training supports professionals across all career stages, from operational roles to specialist and senior responsibilities.

Participants include professionals from public sector, semi-government, and private sector organisations, across a wide range of roles and industries. Attendees range from administrative and operational professionals to technical specialists, managers, and senior decision-makers.

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